An effective query recommendation approach using semantic strategies for intelligent information retrieval
作者：
Highlights：
• In this study, query concepts are firstly extracted from the web-snippets of the search result.
• Some tokens in URLs are very meaningful. These potential tokens are extensively considered.
• A hybrid semantic similarity strategy is firstly utilized in our approach in depth.
• We design a gradient descent method to evaluate such a hybrid semantic similarity strategy.
摘要
•In this study, query concepts are firstly extracted from the web-snippets of the search result.•Some tokens in URLs are very meaningful. These potential tokens are extensively considered.•A hybrid semantic similarity strategy is firstly utilized in our approach in depth.•We design a gradient descent method to evaluate such a hybrid semantic similarity strategy.
论文关键词：Query recommendation,Genetic algorithm,Knowledge discovery,Clustering,Information retrieval
论文评审过程：Available online 24 July 2013.
论文官网地址：https://doi.org/10.1016/j.eswa.2013.07.052
